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Biomedical subjects

Xian Chen

Publications and source records attributed to Xian Chen.

39 records · Page 3Linked to original sources

Enhancing TOF/TOF-based de novo sequencing capability for high throughput protein identification with amino acid-coded mass tagging.

Because of the intrinsic physical properties of single- or double-charged ions, MALDI-based CID on these peptide precursor ions tends to be incomplete, resulting in a large number of MS/MS spectra unassigned or ambiguously identified. Consequently, the TOF/TOF high throughput capability may not be fully explored and utilized. Here, we describe a novel method for de novo sequence assignment of those MALDI TOF/TOF MS/MS spectra with incomplete or weak fragment ion series. In this approach, the deuterium-labeled lysine and leucine precursors were used in parallel to mass-tag the proteome of a metastatic human hepatocellular carcinoma (HCC) cell line during in vivo cell culturing. These stable isotope precursor markers not only position at terminal but at internal MS/MS fragment ions with the characteristic isotope pattern induced by multiple mass tagging in parallel. This enhanced signal specificity evidently resolved ambiguities in those sparse poor-quality TOF/TOF spectra by providing critical sequential links among MS/MS fragment ions. Our data-dependent approach was able to reduce many false-positives in current genome sequence-based peptide sequencing. With developing new algorithms accordingly, our approach is amenable for automation that will lead to more comprehensive and reliable identification for proteomes.

Carcinoma, Hepatocellular↗

Large-scale quantitative proteomic study of PUMA-induced apoptosis using two-dimensional liquid chromatography-mass spectrometry coupled with amino acid-coded mass tagging.

By coupling two-dimensional liquid chromatography-tandem mass spectrometry (2D-LC-MS/MS) with amino acid-coded mass tagging (AACT), we have greatly increased the analytical throughput and sequence coverage of MS-based methods for proteome-wide quantitation. The dynamic range and reproducibility of this 2D-LC-AACT quantitative approach were evaluated by profiling the mixtures with different ratios of E. coli cells grown in either regular or AACT medium. A SQL-based high thoughput MASCOT data analysis tool was developed for proteomic data sorting and mining. We investigated the early stage of apoptosis by inducing the p53 upregulated modulator of apoptosis (PUMA) through the analyses of the relative ratios of the pairwise isotope signals that were originated from the control and labeled PUMA-induced cells. In 20-hour 2D-LC-MS/MS run, 480 proteins were conclusively identified, and more than half of them were quantified. A noteworthy change in the quantitative profile was that histones and a ubiquitin conjugate protein UBC9, which are involved in DNA double-strand break (DSB) repair were significantly down-regulated in the PUMA-overexpressing apoptotic cells, suggesting the detection of DSB in the apoptotic process. The quantitative profiling efficiency of this approach was compared with the gel-based quantitative analysis scheme.

Amino Acids↗

In vivo dual-tagging proteomic approach in studying signaling pathways in immune response.

Up to date, few successes have been achieved to identify the signaling molecules directly from immune cells due to their low-abundance and dynamic nature. Here, we designed an in vivo dual-tagging quantitative approach that integrated epitope-tagging which allows single affinity purification of the natural complexes formed at real-time, and amino acid-coded mass tagging (AACT) that assists mass spectrometry-based quantitative measurement, to identify the specific components of a signaling complex formed in macrophage cells upon lipopolysaccharide (LPS) stimulation. The sensitivity and accuracy of this quantitative method are significantly higher than those of tandem affinity purification, because the multiple step of purifications are avoided to preserve weakly interacting molecules. We identified a number of proteins that interact with MyD88, a critical adaptor protein in innate immune response, in macrophages upon stimulation. Among those newly identified MyD88-interacting partners, FLAP-1 was found to be an activator of NF-kappaB, the key transcription factor in immune response. This integrated approach provides global information on the functional link between MyD88 and other proteins in transducing the TLR-mediated signal and is generally applicable to in vivo analyses of other signaling pathways.

5-Lipoxygenase-Activating Proteins↗